A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.
Hybrid IT environments create major data visibility gaps. Organisations must prioritise unified data security, AI-driven detection and Zero Trust to protect sensitive data across complex ecosystems.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
AI success depends on strong processes, clear outcomes and confident teams. Organisations that align people, workflows and data are far more likely to realise real AI value.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
AI must deliver measurable value in daily operations. From manufacturing to retail, businesses are shifting from pilots to practical deployment, building trust and preparing for agentic AI.
Mandatory UK e-invoicing from 2029 improves data quality, but without real-time VAT reporting, it may not fully address the £8.9bn VAT gap challenge.
AI workloads are transforming data centre heat management, demanding adaptive cooling strategies, hybrid liquid-air systems and intelligent thermal control across the entire facility.
Super Bowl advertising revealed a pivotal shift in AI branding, as companies prioritised trust, credibility and emotional resonance over product features and technical performance claims.
AI-driven order-to-cash transformation is emerging as a strategic growth engine, improving liquidity, reducing risk and enhancing customer experience across B2B and B2C organisations.
Unified communications investments often overlook frontline workers. In 2026, resilience, compliance, and integration beyond the office are essential for operational continuity and workforce safety.
European businesses are losing 15 hours weekly to admin overload. In 2026, leaders must prioritise automation to boost productivity, engagement and compliance resilience.
AI ambition is rising fast, but operational adoption remains limited. Organisations must bridge the gap between strategy, skills, data foundations and scalable execution.
Enterprise AI is failing at scale due to fragmented data. A unified, platform-based approach enables governed autonomy, trusted decisions, and sustainable AI-driven transformation.
Technology transformation for the people
One of the biggest telcos in the UK has just rebuilt its entire IT infrastructure in less than a year. Here’s how.
Safecypher, led by CEO Ben Jordan, eliminates card-not-present fraud with a dynamic CVV system. Proven in Ireland, it offers a scalable, cost-effective global solution.
This month Ben, Rom and James chew over Project JEDI’s conclusion, everything 5G in 2019 and our BT case study on intelligent automation. The team also report back from VMworld Europe, where they learned about a peculiar piece of dental technology…
Infinidat’s EMEA CTO Eran Brown says companies can take control of their multi-petabyte datasets in a cost effective way
From humble beginnings, Dax Grant has scaled the tech ladder to become CIO, Global Operations at HSBC
A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.
Hybrid IT environments create major data visibility gaps. Organisations must prioritise unified data security, AI-driven detection and Zero Trust to protect sensitive data across complex ecosystems.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
AI success depends on strong processes, clear outcomes and confident teams. Organisations that align people, workflows and data are far more likely to realise real AI value.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
AI must deliver measurable value in daily operations. From manufacturing to retail, businesses are shifting from pilots to practical deployment, building trust and preparing for agentic AI.
Mandatory UK e-invoicing from 2029 improves data quality, but without real-time VAT reporting, it may not fully address the £8.9bn VAT gap challenge.
AI workloads are transforming data centre heat management, demanding adaptive cooling strategies, hybrid liquid-air systems and intelligent thermal control across the entire facility.
Super Bowl advertising revealed a pivotal shift in AI branding, as companies prioritised trust, credibility and emotional resonance over product features and technical performance claims.
AI-driven order-to-cash transformation is emerging as a strategic growth engine, improving liquidity, reducing risk and enhancing customer experience across B2B and B2C organisations.
Unified communications investments often overlook frontline workers. In 2026, resilience, compliance, and integration beyond the office are essential for operational continuity and workforce safety.
European businesses are losing 15 hours weekly to admin overload. In 2026, leaders must prioritise automation to boost productivity, engagement and compliance resilience.
AI ambition is rising fast, but operational adoption remains limited. Organisations must bridge the gap between strategy, skills, data foundations and scalable execution.
